Libraries and scripts for basic IMPROVE functionalities
This example shows how to the use the improve library with the GraphDRP model.
Clone the model into some directory. E.g., /lambda_stor/data/apartin/projects/IMPROVE/pan-models
cd /lambda_stor/data/apartin/projects/IMPROVE/pan-models
git clone https://github.com/JDACS4C-IMPROVE/GraphDRP
cd GraphDRP
git checkout cristina/candleize-ap
Download the cross-study analysis (CSA) benchmark data into the model directory from https://web.cels.anl.gov/projects/IMPROVE_FTP/candle/public/improve/benchmarks/single_drug_drp/benchmark-data-pilot1/
wget --cut-dirs=7 -P ./ -nH -np -m ftp://ftp.mcs.anl.gov/pub/candle/public/improve/benchmarks/single_drug_drp/benchmark-data-pilot1/csa_data
- clone the
improve
repo to a directory of your preference. For example:
cd ..
git clone https://github.com/JDACS4C-IMPROVE/IMPROVE
git checkout develop
As a result of the commands above, the IMPROVE repo will be loacted in /lambda_stor/data/apartin/projects/IMPROVE/pan-models/IMPROVE
- cd to the model repo.
cd /lambda_stor/data/apartin/projects/IMPROVE/pan-models/GraphDRP
- specify $PYTHOPATH and $IMPROVE_DATA_DIR environment variables.
export PYTHONPATH=$PYTHONPATH:/lambda_stor/data/apartin/projects/IMPROVE/pan-models/IMPROVE
export IMPROVE_DATA_DIR="./csa_data/"
TODO
TODO
- name: utils.py